by kenliao94
Enables AI agents to manage RabbitMQ brokers and interact with queues/messages through Model Context Protocol tools, wrapping admin APIs and providing Pika‑based message operations.
It provides an MCP‑compatible interface for RabbitMQ, exposing broker administration and message‑level actions as tools that can be invoked by AI agents.
pip install mcp-server-rabbitmq) or run it directly with uvx/uv as shown in the README.mcpServers configuration, supplying the same arguments.list_queues, publish_message, or create_user to control the broker.rabbitmqadmin commands are exposed as MCP tools.Q: Can I change the broker after the server has started? A: Yes, the MCP tools accept connection parameters, allowing the AI to point to a different host, port, or credential set during a session.
Q: Do I need TLS for the AMQP connection?
A: Set --use-tls true when launching the server if your broker uses amqps; otherwise leave it false.
Q: How is authentication handled for the HTTP endpoint?
A: The server uses FastMCP's BearerAuthProvider; configure your IdP and pass bearer tokens in client requests.
Q: Is there parity with rabbitmqadmin?
A: Full parity is planned on the roadmap; current implementation covers the most common admin commands.
Q: Can I use OAuth instead of basic auth? A: OAuth support is on the roadmap; currently only username/password authentication is available.
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